Literature DB >> 23126309

Ion mobility-mass spectrometry analysis of serum N-linked glycans from esophageal adenocarcinoma phenotypes.

M M Gaye1, S J Valentine, Y Hu, N Mirjankar, Z T Hammoud, Y Mechref, B K Lavine, D E Clemmer.   

Abstract

Three disease phenotypes, Barrett's esophagus (BE), high-grade dysplasia (HGD), esophageal adenocarcinoma (EAC), and a set of normal control (NC) serum samples are examined using a combination of ion mobility spectrometry (IMS), mass spectrometry (MS), and principal component analysis (PCA) techniques. Samples from a total of 136 individuals were examined, including 7 characterized as BE, 12 as HGD, 56 as EAC, and 61 as NC. In typical data sets, it was possible to assign ∼20 to 30 glycan ions based on MS measurements. Ion mobility distributions for these ions show multiple features. In some cases, such as the [S1H5N4+3Na]3+ and [S1F1H5N4+3Na]3+ glycan ions, the ratio of intensities of high-mobility features to low-mobility features vary significantly for different groups. The degree to which such variations in mobility profiles can be used to distinguish phenotypes is evaluated for 11 N-linked glycan ions. An outlier analysis on each sample class followed by an unsupervised PCA using a genetic algorithm for pattern recognition reveals that EAC samples are separated from NC samples based on 46 features originating from the 11-glycan composite IMS distribution.

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Year:  2012        PMID: 23126309      PMCID: PMC3534975          DOI: 10.1021/pr300756e

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  34 in total

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Journal:  J Proteome Res       Date:  2007-04-14       Impact factor: 4.466

6.  Resolving and assigning N-linked glycan structural isomers from ovalbumin by IMS-MS.

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Journal:  J Am Soc Mass Spectrom       Date:  2008-07-31       Impact factor: 3.109

7.  Profiling of human serum glycans associated with liver cancer and cirrhosis by IMS-MS.

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8.  Development of a robust and high throughput method for profiling N-linked glycans derived from plasma glycoproteins by NanoLC-FTICR mass spectrometry.

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2.  Differential Fragmentation of Mobility-Selected Glycans via Ultraviolet Photodissociation and Ion Mobility-Mass Spectrometry.

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3.  Evaluation of Serum Glycoprotein Biomarker Candidates for Detection of Esophageal Adenocarcinoma and Surveillance of Barrett's Esophagus.

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4.  Delineation of disease phenotypes associated with esophageal adenocarcinoma by MALDI-IMS-MS analysis of serum N-linked glycans.

Authors:  M M Gaye; T Ding; H Shion; A Hussein; Y Hu; S Zhou; Z T Hammoud; B K Lavine; Y Mechref; J C Gebler; D E Clemmer
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10.  Serum Glycoprotein Biomarker Discovery and Qualification Pipeline Reveals Novel Diagnostic Biomarker Candidates for Esophageal Adenocarcinoma.

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Journal:  Mol Cell Proteomics       Date:  2015-09-24       Impact factor: 5.911

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